Multi Objective energy mix Optimalization

Abstract

In national energy systems, electricity is generated from various primary energy sources. Different power plant types have different costs and environmental impacts. New power plant capacities should preferably be characterized by lower emissions and more modest costs. Selecting a number of parameters is typically a Multi Objective Optimization (MOO) task. Although optimization can be done, it is difficult to illustrate the results with large tables. Although the decision makers always makes “good” decisions it is hard to sense the relation between these solutions. The current energy system and the targeted new composition can be well represented by the diagram of the optimization goals and the Pareto front. In addition to the present situation, we have proposed an energy mix with minimal costs and emissions. All this is plotted on the optimization diagram, which also shows the directions of optimization and the Pareto front.